activity
20202023
most citedYou Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

195 citations · 210 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

Understanding Self-Supervised Pretraining with Part-Aware Representation Learning

Jie Zhu, Jiyang Qi, Mingyu Ding +6

In this paper, we are interested in understanding self-supervised pretraining through studying the capability that self-supervised representation pretraining methods learn part-awa…

cs.CV2021★ 4 cited

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge

Jiyang Qi, Yan Gao, Yao Hu +7

Although deep learning methods have achieved advanced video object recognition performance in recent years, perceiving heavily occluded objects in a video is still a very challengi…

cs.CV2021★ 195 cited

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

Yuxin Fang, Bencheng Liao, Xinggang Wang +5

Can Transformer perform 2D object- and region-level recognition from a pure sequence-to-sequence perspective with minimal knowledge about the 2D spatial structure? To answer this q…

cs.CV2021★ 8 cited

Occluded Video Instance Segmentation: A Benchmark

Jiyang Qi, Yan Gao, Yao Hu +7

Can our video understanding systems perceive objects when a heavy occlusion exists in a scene? To answer this question, we collect a large-scale dataset called OVIS for occluded vi…

cs.AI2020★ 2 cited

Multi-Granularity Modularized Network for Abstract Visual Reasoning

Xiangru Tang, Haoyuan Wang, Xiang Pan +1

Abstract visual reasoning connects mental abilities to the physical world, which is a crucial factor in cognitive development. Most toddlers display sensitivity to this skill, but…